SOTAVerified

Optical Character Recognition (OCR)

Optical Character Recognition or Optical Character Reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo, license plates in cars...) or from subtitle text superimposed on an image (for example: from a television broadcast)

Papers

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Showing 751–775 of 1209 papers

TitleStatusHype
User-Centric Evaluation of OCR Systems for Kwak'wala—0
Using SMT for OCR Error Correction of Historical Texts—0
uTHCD: A New Benchmarking for Tamil Handwritten OCR—0
VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models—0
Vartani Spellcheck -- Automatic Context-Sensitive Spelling Correction of OCR-generated Hindi Text Using BERT and Levenshtein Distance—0
VASTA: A Vision and Language-assisted Smartphone Task Automation System—0
Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models—0
Veri-Car: Towards Open-world Vehicle Information Retrieval—0
VILA^2: VILA Augmented VILA—0
Vintern-1B: An Efficient Multimodal Large Language Model for Vietnamese—0
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged—0
Vision Grid Transformer for Document Layout Analysis—0
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities—0
VISTA-OCR: Towards generative and interactive end to end OCR models—0
Visual Subtitle Feature Enhanced Video Outline Generation—0
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction—0
Visual Zero-Shot E-Commerce Product Attribute Value Extraction—0
Volume Regularization for Binary Classification—0
VORTEX: A Spatial Computing Framework for Optimized Drone Telemetry Extraction from First-Person View Flight Data—0
Vulnerability Analysis of Transformer-based Optical Character Recognition to Adversarial Attacks—0
Weakly Supervised Construction of ASR Systems with Massive Video Data—0
Weakly supervised information extraction from inscrutable handwritten document images—0
We Live in a Motorized Civilization: Robert Moses Replies to Robert Caro—0
Training BERT Models to Carry Over a Coding System Developed on One Corpus to Another—0
What Large Language Models Bring to Text-rich VQA?—0
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All datasetsBenchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical StudyVideoDB's OCR Benchmark Public CollectionFSNS - TestI2L-140KSUTim2latex-100k

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DTrOCR 105MAccuracy (%)89.6—Unverified
2DTrOCRAccuracy (%)89.6—Unverified
3MaskOCR-LAccuracy (%)82.6—Unverified
4TransOCRAccuracy (%)72.8—Unverified
5SRNAccuracy (%)65—Unverified
6MORANAccuracy (%)64.3—Unverified
7SEEDAccuracy (%)61.2—Unverified
#ModelMetricClaimedVerifiedStatus
1GPT-4oAverage Accuracy76.22—Unverified
2Gemini-1.5 ProAverage Accuracy76.13—Unverified
3Claude-3 SonnetAverage Accuracy67.71—Unverified
4RapidOCRAverage Accuracy56.98—Unverified
5EasyOCRAverage Accuracy49.3—Unverified
#ModelMetricClaimedVerifiedStatus
1STREETSequence error27.54—Unverified
2SEESequence error22—Unverified
3AttentionOCR_Inception-resnet-v2_LocationSequence error15.8—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-NOPOOLBLEU89.09—Unverified
2I2L-STRIPSBLEU89—Unverified
#ModelMetricClaimedVerifiedStatus
1TesseractCharacter Error Rate (CER)0.08—Unverified
2EasyOCRCharacter Error Rate (CER)0.07—Unverified
#ModelMetricClaimedVerifiedStatus
1I2L-STRIPSBLEU88.86—Unverified